This course explores what ML is and what problems it can solve. The course also discusses best practices for implementing machine learning. You’re introduced to Vertex AI, a unified platform to quickly build, train, and deploy AutoML machine learning models.
How Google does Machine Learning
How Google does Machine Learning
This course is part of multiple programs.
Instructor: Google Cloud Training
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Gain insight into a topic and learn the fundamentals.
4.6
(7,275 reviews)
Beginner level
No prior experience required
Flexible schedule
Approx. 11 hours
Learn at your own pace
92%
Most learners liked this course
What you'll learn
Describe Vertex AI Platform and how it's used to quickly build, train, and deploy AutoML machine learning models without writing any code
Describe best practices for implementing machine learning on Google Cloud
Leverage Google Cloud tools and environment to do ML
Articulate Responsible AI best practices
Skills you'll gain
Details to know
Shareable certificate
Add to your LinkedIn profile
Assessments
6 assignments
Taught in English
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There are 8 modules in this course
This module introduces the course series and the Google experts who will be teaching it.
What's included
2 videos
In this module, you explore building a data strategy around machine learning.
What's included
7 videos2 readings1 assignment
This module shares the organizational know-how Google has acquired over the years.
What's included
7 videos1 reading1 assignment
All machine learning starts with some type of goal - whether it be a business use case, academic use case, or goal you are trying to solve. This module reviews the process of determining whether the model is ready for production the “proof of concept” or “experimentation” phase.
What's included
9 videos1 reading1 assignment2 app items
This module explores both managed notebooks and user-managed notebooks for machine learning development in Vertex AI.
What's included
2 videos1 reading1 assignment
This module reviews best practices for a number of different machine learning processes in Vertex AI.
What's included
4 videos1 assignment
This module discusses why machine learning systems aren’t fair by default and some of the things you have to keep in mind as you infuse ML into your products.
What's included
7 videos1 reading1 assignment
This module is a summary of the How Google Does Machine Learning course.
What's included
4 readings
Instructor
Instructor ratings
4.6 (929 ratings)Offered by
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Learner reviews
4.6
7,275 reviews
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Showing 3 of 7275
WD
5
Reviewed on Mar 30, 2019
It was a good introduction to how Google thinks about Machine Learning. Nice introduction to the tools (Google Cloud Platform, Big Query, Python Notebooks, and Google's pre-built APIs).
TP
5
Reviewed on Feb 26, 2019
Best ML course with google style..starts from detail explanation from the coverage of full of presentation with examples.Like the way of coaching..Easy to understand..thank's google and coursera..
RK
5
Reviewed on Apr 16, 2020
Machine Learning API's were really cool stuff to learn and see the examples running.Though a little more emphasis is needed to understand the codes used in the final lab session :)
Recommended if you're interested in Data Science
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